IHB OpenIR  > 淡水生态学研究中心  > 期刊论文
Functional traits composition predict macrophytes community productivity along a water depth gradient in a freshwater lake
Fu, Hui1,2; Zhong, Jiayou1; Yuan, Guixiang1; Ni, Leyi2; Xie, Ping2; Cao, Te2; Zhong, JY (reprint author), Jiangxi Inst Water Sci, Jiangxi Prov Key Lab Water Resources & Environm P, Nanchang 330029, Peoples R China.
2014-05-01
Source PublicationECOLOGY AND EVOLUTION
ISSN2045-7758
Volume4Issue:9Pages:1516-1523
AbstractFunctional trait composition of plant communities has been proposed as a helpful key for understanding the mechanisms of biodiversity effects on ecosystem functioning. In this study, we applied a step-wise modeling procedure to test the relative effects of taxonomic diversity, functional identity, and functional diversity on macrophytes community productivity along water depth gradient. We sampled 42 plots and 1513 individual plants and measured 16 functional traits and abundance of 17 macrophyte species. Results showed that there was a significant decrease in taxonomic diversity, functional identity (i.e., stem dry mass content, leaf [C] and leaf [N]), and functional diversity (i.e., floating leaf, mean Julian flowering date and rooting depth) with increasing water depth. For the multiple-trait functional diversity (FD) indices, functional richness decreased, while functional divergence increased with water depth gradient. Macrophyte community productivity was strongly determined by functional trait composition within community, but not significantly affected by taxonomic diversity. Community-weighted means (CWM) showed a two times higher explanatory power relative to FD indices in determining variations in community productivity. For nine of sixteen traits, CWM and FD showed significant correlations with community productivity, although the strength and direction of those relations depended on selected trait. Furthermore, functional composition in a community affected productivity through either additive or opposite effects of CWM and FD, depending on the particular traits being considered. Our results suggested both mechanisms of mass ratio and niche complementarity can operate simultaneously on variations in community productivity, and considering both CWM and FD would lead to a more profound understanding of traits-productivity relationships.; Functional trait composition of plant communities has been proposed as a helpful key for understanding the mechanisms of biodiversity effects on ecosystem functioning. In this study, we applied a step-wise modeling procedure to test the relative effects of taxonomic diversity, functional identity, and functional diversity on macrophytes community productivity along water depth gradient. We sampled 42 plots and 1513 individual plants and measured 16 functional traits and abundance of 17 macrophyte species. Results showed that there was a significant decrease in taxonomic diversity, functional identity (i.e., stem dry mass content, leaf [C] and leaf [N]), and functional diversity (i.e., floating leaf, mean Julian flowering date and rooting depth) with increasing water depth. For the multiple-trait functional diversity (FD) indices, functional richness decreased, while functional divergence increased with water depth gradient. Macrophyte community productivity was strongly determined by functional trait composition within community, but not significantly affected by taxonomic diversity. Community-weighted means (CWM) showed a two times higher explanatory power relative to FD indices in determining variations in community productivity. For nine of sixteen traits, CWM and FD showed significant correlations with community productivity, although the strength and direction of those relations depended on selected trait. Furthermore, functional composition in a community affected productivity through either additive or opposite effects of CWM and FD, depending on the particular traits being considered. Our results suggested both mechanisms of mass ratio and niche complementarity can operate simultaneously on variations in community productivity, and considering both CWM and FD would lead to a more profound understanding of traits-productivity relationships.
SubtypeArticle
KeywordAquatic Macrophytes Community Productivity Community-weighted Means Functional Diversity Functional Trait Composition Water Depth Gradient
Department[Fu, Hui ; Zhong, Jiayou ; Yuan, Guixiang] Jiangxi Inst Water Sci, Jiangxi Prov Key Lab Water Resources & Environm P, Nanchang 330029, Peoples R China ; [Fu, Hui ; Ni, Leyi ; Xie, Ping ; Cao, Te] Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Donghu Expt Stn Lake Ecosyst, Wuhan 430027, Peoples R China
DOI10.1002/ece3.1022
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Funding OrganizationNational Science Foundation of China [31300398, 31270508, 41230853]; National High Technology Research and Development Program of China [2012ZX07105-004] ; National Science Foundation of China [31300398, 31270508, 41230853]; National High Technology Research and Development Program of China [2012ZX07105-004] ; National Science Foundation of China [31300398, 31270508, 41230853]; National High Technology Research and Development Program of China [2012ZX07105-004] ; National Science Foundation of China [31300398, 31270508, 41230853]; National High Technology Research and Development Program of China [2012ZX07105-004]
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEcology
WOS IDWOS:000335267000002
WOS KeywordECOSYSTEM PROCESSES ; BIODIVERSITY LOSS ; CURRENT KNOWLEDGE ; SPECIES RICHNESS ; PLANT DIVERSITY ; ECOLOGY ; COMPLEMENTARITY ; SERVICES ; EVENNESS ; IMPACTS
Funding OrganizationNational Science Foundation of China [31300398, 31270508, 41230853]; National High Technology Research and Development Program of China [2012ZX07105-004] ; National Science Foundation of China [31300398, 31270508, 41230853]; National High Technology Research and Development Program of China [2012ZX07105-004] ; National Science Foundation of China [31300398, 31270508, 41230853]; National High Technology Research and Development Program of China [2012ZX07105-004] ; National Science Foundation of China [31300398, 31270508, 41230853]; National High Technology Research and Development Program of China [2012ZX07105-004]
Citation statistics
Cited Times:30[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/342005/20011
Collection淡水生态学研究中心_期刊论文
Corresponding AuthorZhong, JY (reprint author), Jiangxi Inst Water Sci, Jiangxi Prov Key Lab Water Resources & Environm P, Nanchang 330029, Peoples R China.
Affiliation1.Jiangxi Inst Water Sci, Jiangxi Prov Key Lab Water Resources & Environm P, Nanchang 330029, Peoples R China
2.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Donghu Expt Stn Lake Ecosyst, Wuhan 430027, Peoples R China
Recommended Citation
GB/T 7714
Fu, Hui,Zhong, Jiayou,Yuan, Guixiang,et al. Functional traits composition predict macrophytes community productivity along a water depth gradient in a freshwater lake[J]. ECOLOGY AND EVOLUTION,2014,4(9):1516-1523.
APA Fu, Hui.,Zhong, Jiayou.,Yuan, Guixiang.,Ni, Leyi.,Xie, Ping.,...&Zhong, JY .(2014).Functional traits composition predict macrophytes community productivity along a water depth gradient in a freshwater lake.ECOLOGY AND EVOLUTION,4(9),1516-1523.
MLA Fu, Hui,et al."Functional traits composition predict macrophytes community productivity along a water depth gradient in a freshwater lake".ECOLOGY AND EVOLUTION 4.9(2014):1516-1523.
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